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The stack

Tools we'd bet your business on.

Every technology here runs in production systems we have shipped and operate. We pick the stack for your constraints — not the other way round.

Technologies in production
33
Stack disciplines
5
Major cloud providers
3
Shipping since
2012
OpenAI GPT-4oAnthropic Claude 3.5 SonnetGoogle Gemini 1.5 ProMeta Llama 3.3 70BDeepSeek R1Mistral Large 2PineconeQdrantChromaDBNeo4j GraphRAGLangGraphLlamaIndexNext.js 15/16React 19TypeScriptTailwind CSSThree.jsFramer Motion & GSAPElectronPythonGoRustNode.jsPHPPostgreSQLMySQLRedisAmazon Web ServicesGoogle Cloud PlatformMicrosoft AzureKubernetesDockerTerraform
[01]Frontier & open models

Models, chosen by the task.

We route between frontier APIs and private open-weights models on cost, latency, reasoning depth and data residency.

Frontier & open models technologies
OpenAI GPT-4o / o1LLM FrontierMulti-modal vision and complex reasoning
Anthropic Claude 3.5 SonnetLLM FrontierState-of-the-art coding and agentic workflows
Google Gemini 1.5 ProLLM Frontier2 Million token context processing
Meta Llama 3.3 70BOpen WeightsPrivate on-premise high performance LLM
DeepSeek R1 / V3Reasoning ModelAdvanced mathematical and logic reasoning
Mistral Large 2Open WeightsHigh efficiency multilingual model
[02]Vector & RAG

Retrieval that remembers.

Vector indices, knowledge graphs and orchestration frameworks for grounded answers and stateful agents.

Vector & RAG technologies
PineconeVector DatabaseHyperscale managed vector index
QdrantVector DatabaseRust-powered real-time vector search
ChromaDBVector StoreLightweight local and distributed embedding store
Neo4j GraphRAGGraph KnowledgeMulti-hop entity knowledge graph retrieval
LangGraphAgent FrameworkCyclic graph orchestration for multi-agent swarms
LlamaIndexRAG FrameworkAdvanced document indexing and data connectors
[03]Frontend & 3D

Interfaces that feel instant.

Server-first React with streaming, typed end to end, and motion or WebGL only where it earns its weight.

Frontend & 3D technologies
Next.js 15/16FrameworkServer components, streaming SSR, TurboPack
React 19Core LibraryConcurrent rendering and server actions
TypeScriptLanguageStrict type safety across full stack
Tailwind CSSStylingModern utility-first styling engine
Three.js / WebGL3D GraphicsInteractive 3D environments and shaders
Framer Motion & GSAPMotionPhysics-based choreography and scroll animations
ElectronDesktopWindows, macOS and Linux apps from one React codebase
[04]Backend & data

Backends built for throughput.

Python for AI services, Go and Rust where latency matters, Postgres as the system of record.

Backend & data technologies
Python / FastAPIAI BackendsHigh concurrency asynchronous AI endpoints
Go (Golang)MicroservicesSub-millisecond high-throughput network services
RustPerformance CoreMemory-safe systems programming
Node.js / ExpressRuntimeFast event-driven web servers
PHP / LaravelWeb FrameworkRapid, secure web apps, admin panels and REST APIs
PostgreSQLDatabaseRelational data integrity with pgvector
MySQLDatabaseProven relational database for web, commerce and CMS
RedisCache & QueueIn-memory caching and real-time streaming
[05]Cloud & DevOps

Infrastructure as code, everywhere.

Multi-cloud Kubernetes, declarative infrastructure and GitOps delivery with cost controls from day one.

Cloud & DevOps technologies
Amazon Web Services (AWS)CloudLambda, ECS, EKS, SageMaker, Bedrock
Google Cloud Platform (GCP)CloudVertex AI, GKE, BigQuery, Cloud Run
Microsoft AzureCloudAzure OpenAI Service, AKS, CosmosDB
Kubernetes (K8s)OrchestrationContainer clustering and autoscaling
DockerContainersStandardized lightweight containerization
TerraformIaCDeclarative infrastructure as code
[06]How we choose

Boring where it counts. Bold where it pays.

A stack is a set of trade-offs. These are the rules we use to make them — and to explain them to your architects.

  1. [01]

    Proven before adopted

    New tools earn a place through benchmarks on real workloads, not launch-day hype. We run them in our own systems first.

  2. [02]

    Portable by default

    Open standards, containers and abstraction layers keep you free to switch models, clouds or vendors without a rewrite.

  3. [03]

    Measured, not assumed

    Latency budgets, eval suites and cost dashboards decide what stays in the stack — and what gets replaced.

Stack review

Evaluating a stack, or migrating one?

We benchmark candidates on your workloads, model licensing and running costs, and plan zero-downtime migration paths your team can execute.